Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ajay Basavanhally"'
Autor:
Angel Cruz-Roa, Hannah Gilmore, Ajay Basavanhally, Michael Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi, Fabio González
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0196828 (2018)
Precise detection of invasive cancer on whole-slide images (WSI) is a critical first step in digital pathology tasks of diagnosis and grading. Convolutional neural network (CNN) is the most popular representation learning method for computer vision t
Externí odkaz:
https://doaj.org/article/b29ce0449f0649e0a66508d97065af00
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0117900 (2015)
Clinical trials increasingly employ medical imaging data in conjunction with supervised classifiers, where the latter require large amounts of training data to accurately model the system. Yet, a classifier selected at the start of the trial based on
Externí odkaz:
https://doaj.org/article/758c82d6a8b34b5a95007b586d892cbf
Autor:
Ajay Basavanhally, Michael Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Shridar Ganesan, Anant Madabhushi
Publikováno v:
Journal of Pathology Informatics, Vol 2, Iss 2, Pp 1-1 (2011)
In this paper, we attempt to quantify the prognostic information embedded in multi-parametric histologic biopsy images to predict disease aggressiveness in estrogen receptor-positive (ER+) breast cancers (BCa). The novel methodological contribution i
Externí odkaz:
https://doaj.org/article/f342ce3fa14842f28728f79f4d30fc54
Publikováno v:
Computerized Medical Imaging and Graphics. 57:50-61
Digital histopathology slides have many sources of variance, and while pathologists typically do not struggle with them, computer aided diagnostic algorithms can perform erratically. This manuscript presents Stain Normalization using Sparse AutoEncod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee52596e857f9222435379cc6ab40cd
https://doi.org/10.1016/j.compmedimag.2016.05.003
https://doi.org/10.1016/j.compmedimag.2016.05.003
Autor:
Angel Cruz-Roa, Michael Feldman, Fabio A. González, Natalie N. C. Shih, Shridar Ganesan, John E. Tomaszewski, Anant Madabhushi, Hannah Gilmore, Ajay Basavanhally
Publikováno v:
Scientific Reports
With the increasing ability to routinely and rapidly digitize whole slide images with slide scanners, there has been interest in developing computerized image analysis algorithms for automated detection of disease extent from digital pathology images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5fa69ed0e9a3cd2b0a98cf78a78da5f
Publikováno v:
Computerized Medical Imaging and Graphics. 35:506-514
Computer-aided prognosis (CAP) is a new and exciting complement to the field of computer-aided diagnosis (CAD) and involves developing and applying computerized image analysis and multi-modal data fusion algorithms to digitized patient data (e.g. ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c419e5102d86523fcd3bdbbc2252f4c
https://doi.org/10.1016/j.compmedimag.2011.01.008
https://doi.org/10.1016/j.compmedimag.2011.01.008
Autor:
Michael Feldman, Natalie Shih, John E. Tomaszewski, Angel Cruz-Roa, Fabio A. González, Hannah Gilmore, Shridar Ganesan, Anant Madabhushi, Ajay Basavanhally
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 5, p e0196828 (2018)
PLoS ONE, Vol 13, Iss 5, p e0196828 (2018)
Precise detection of invasive cancer on whole-slide images (WSI) is a critical first step in digital pathology tasks of diagnosis and grading. Convolutional neural network (CNN) is the most popular representation learning method for computer vision t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb93dbdb88248e7e13e446b9e752c518
https://doi.org/10.1371/journal.pone.0196828
https://doi.org/10.1371/journal.pone.0196828
Autor:
Dave Harding, Lori J. Goldstein, Nishant Verma, Mark C. Lloyd, Ajay Basavanhally, Pingfu Fu, Shridar Ganesan, Michael Feldman, James Monaco, Hannah Gilmore, John E. Tomaszewski, Amir Mohammadi, Anant Madabhushi, Nancy E. Davidson
Publikováno v:
Journal of Clinical Oncology. 36:540-540
540Background: Tumor grade is a predictor of breast cancer recurrence, independent of gene expression assays such as Oncotype Dx (ODx). However, grade suffers from significant intra- and inter-obse...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a0f169049e4ac7437c4eb3f9f8c7a6f
https://doi.org/10.1200/jco.2018.36.15_suppl.540
https://doi.org/10.1200/jco.2018.36.15_suppl.540
Autor:
Michael Feldman, James Monaco, Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Steve Masters, George Lee, John E. Tomaszewski
Publikováno v:
cclm. 48:989-998
With the advent of digital pathology, imaging scientists have begun to develop computerized image analysis algorithms for making diagnostic (disease presence), prognostic (outcome prediction), and theragnostic (choice of therapy) predictions from hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57b595f33531e8569d96f872797fd3da
https://doi.org/10.1515/cclm.2010.193
https://doi.org/10.1515/cclm.2010.193
Autor:
Ajay Basavanhally, Michael Feldman, James Monaco, Shridar Ganesan, Gyan Bhanot, Shannon Agner, Anant Madabhushi, John E. Tomaszewski
Publikováno v:
IEEE Transactions on Biomedical Engineering. 57:642-653
The identification of phenotypic changes in breast cancer (BC) histopathology on account of corresponding molecular changes is of significant clinical importance in predicting disease outcome. One such example is the presence of lymphocytic infiltrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4199bc3b3602e7a9303ebf7e6649b842
https://doi.org/10.1109/tbme.2009.2035305
https://doi.org/10.1109/tbme.2009.2035305